Profiling Report

Dataset statistics

Number of variables	16
Number of observations	336713
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	41.1 MiB
Average record size in memory	128.0 B

Variable types

Text	4
Categorical	5
Numeric	6
DateTime	1

Alerts

`age` is highly overall correlated with `birth`	High correlation
`birth` is highly overall correlated with `age`	High correlation
`category` is highly overall correlated with `price` and 1 other fields	High correlation
`month` is highly overall correlated with `year`	High correlation
`price` is highly overall correlated with `category` and 1 other fields	High correlation
`sub_category` is highly overall correlated with `category` and 1 other fields	High correlation
`year` is highly overall correlated with `month`	High correlation

Reproduction

Analysis started	2024-10-16 10:19:32.007552
Analysis finished	2024-10-16 10:20:41.983183
Duration	1 minute and 9.98 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

id_prod
Text

Distinct	3264
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Length

Max length	6
Median length	6
Mean length	5.5317615
Min length	3

Characters and Unicode

Total characters	1862616
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48 ?
Unique (%)	< 0.1%

Sample

1st row	0_1483
2nd row	2_226
3rd row	1_374
4th row	0_2186
5th row	0_1351

Value	Count	Frequency (%)
1_369	1081	0.3%
1_417	1062	0.3%
1_498	1036	0.3%
1_414	1027	0.3%
1_425	1013	0.3%
1_398	952	0.3%
1_406	946	0.3%
1_413	944	0.3%
1_403	939	0.3%
1_407	933	0.3%
Other values (3254)	326780	97.1%

Most occurring characters

Value	Count	Frequency (%)
1	382993	20.6%
_	336713	18.1%
0	301062	16.2%
2	142873	7.7%
4	138052	7.4%
3	132907	7.1%
5	105868	5.7%
6	101227	5.4%
8	75015	4.0%
7	74341	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1862616	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	382993	20.6%
_	336713	18.1%
0	301062	16.2%
2	142873	7.7%
4	138052	7.4%
3	132907	7.1%
5	105868	5.7%
6	101227	5.4%
8	75015	4.0%
7	74341	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1862616	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	382993	20.6%
_	336713	18.1%
0	301062	16.2%
2	142873	7.7%
4	138052	7.4%
3	132907	7.1%
5	105868	5.7%
6	101227	5.4%
8	75015	4.0%
7	74341	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1862616	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	382993	20.6%
_	336713	18.1%
0	301062	16.2%
2	142873	7.7%
4	138052	7.4%
3	132907	7.1%
5	105868	5.7%
6	101227	5.4%
8	75015	4.0%
7	74341	4.0%

year
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

2021	277846
2022	58867

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	1346852
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021
2nd row	2022
3rd row	2021
4th row	2021
5th row	2021

Common Values

Value	Count	Frequency (%)
2021	277846	82.5%
2022	58867	17.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2021	277846	82.5%
2022	58867	17.5%

Most occurring characters

Value	Count	Frequency (%)
2	732293	54.4%
0	336713	25.0%
1	277846	20.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1346852	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	732293	54.4%
0	336713	25.0%
1	277846	20.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1346852	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	732293	54.4%
0	336713	25.0%
1	277846	20.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1346852	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	732293	54.4%
0	336713	25.0%
1	277846	20.6%

month
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

September	33254
December	32417
February	29556
January	29311
March	28559
Other values (7)	183616

Length

Max length	9
Median length	7
Mean length	6.256631
Min length	3

Characters and Unicode

Total characters	2106689
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	April
2nd row	February
3rd row	September
4th row	October
5th row	July

Common Values

Value	Count	Frequency (%)
September	33254	9.9%
December	32417	9.6%
February	29556	8.8%
January	29311	8.7%
March	28559	8.5%
April	28401	8.4%
November	28267	8.4%
May	28237	8.4%
June	26812	8.0%
August	25610	7.6%
Other values (2)	46289	13.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
september	33254	9.9%
december	32417	9.6%
february	29556	8.8%
january	29311	8.7%
march	28559	8.5%
april	28401	8.4%
november	28267	8.4%
may	28237	8.4%
june	26812	8.0%
august	25610	7.6%
Other values (2)	46289	13.7%

Most occurring characters

Value	Count	Frequency (%)
e	331492	15.7%
r	260898	12.4%
u	161611	7.7%
b	145071	6.9%
a	144974	6.9%
y	111816	5.3%
m	93938	4.5%
c	82553	3.9%
J	80835	3.8%
t	80441	3.8%
Other values (16)	613060	29.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2106689	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	331492	15.7%
r	260898	12.4%
u	161611	7.7%
b	145071	6.9%
a	144974	6.9%
y	111816	5.3%
m	93938	4.5%
c	82553	3.9%
J	80835	3.8%
t	80441	3.8%
Other values (16)	613060	29.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2106689	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	331492	15.7%
r	260898	12.4%
u	161611	7.7%
b	145071	6.9%
a	144974	6.9%
y	111816	5.3%
m	93938	4.5%
c	82553	3.9%
J	80835	3.8%
t	80441	3.8%
Other values (16)	613060	29.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2106689	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	331492	15.7%
r	260898	12.4%
u	161611	7.7%
b	145071	6.9%
a	144974	6.9%
y	111816	5.3%
m	93938	4.5%
c	82553	3.9%
J	80835	3.8%
t	80441	3.8%
Other values (16)	613060	29.1%

day
Real number (ℝ)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.801787

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.8184205
Coefficient of variation (CV)	0.55806478
Kurtosis	-1.1961889
Mean	15.801787
Median Absolute Deviation (MAD)	8
Skewness	-0.0024937699
Sum	5320667
Variance	77.764541
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
28	11528	3.4%
1	11293	3.4%
16	11253	3.3%
26	11165	3.3%
27	11161	3.3%
23	11135	3.3%
17	11125	3.3%
24	11111	3.3%
14	11099	3.3%
11	11095	3.3%
Other values (21)	224748	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	11293	3.4%
2	10957	3.3%
3	10936	3.2%
4	10663	3.2%
5	10839	3.2%
6	11016	3.3%
7	10938	3.2%
8	11095	3.3%
9	10945	3.3%
10	10965	3.3%

Value	Count	Frequency (%)
31	6402	1.9%
30	10571	3.1%
29	10579	3.1%
28	11528	3.4%
27	11161	3.3%
26	11165	3.3%
25	11028	3.3%
24	11111	3.3%
23	11135	3.3%
22	11019	3.3%

time
Date

Distinct	84576
Distinct (%)	25.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Minimum	2024-10-16 00:00:00
Maximum	2024-10-16 23:59:59

Histogram

Histogram with fixed size bins (bins=50)

session_id
Text

Distinct	169173
Distinct (%)	50.2%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Length

Max length	8
Median length	7
Mean length	7.344014
Min length	3

Characters and Unicode

Total characters	2472825
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	80318 ?
Unique (%)	23.9%

Sample

1st row	s_18746
2nd row	s_159142
3rd row	s_94290
4th row	s_105936
5th row	s_63642

Value	Count	Frequency (%)
s_118668	14	< 0.1%
s_96857	13	< 0.1%
s_21005	13	< 0.1%
s_168560	12	< 0.1%
s_93892	12	< 0.1%
s_136877	11	< 0.1%
s_163784	11	< 0.1%
s_155361	11	< 0.1%
s_3533	11	< 0.1%
s_112803	11	< 0.1%
Other values (169163)	336594	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
s	336713	13.6%
_	336713	13.6%
1	313672	12.7%
2	175267	7.1%
3	175028	7.1%
4	174458	7.1%
6	173234	7.0%
5	172531	7.0%
7	158229	6.4%
8	154935	6.3%
Other values (2)	302045	12.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2472825	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	336713	13.6%
_	336713	13.6%
1	313672	12.7%
2	175267	7.1%
3	175028	7.1%
4	174458	7.1%
6	173234	7.0%
5	172531	7.0%
7	158229	6.4%
8	154935	6.3%
Other values (2)	302045	12.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2472825	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	336713	13.6%
_	336713	13.6%
1	313672	12.7%
2	175267	7.1%
3	175028	7.1%
4	174458	7.1%
6	173234	7.0%
5	172531	7.0%
7	158229	6.4%
8	154935	6.3%
Other values (2)	302045	12.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2472825	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	336713	13.6%
_	336713	13.6%
1	313672	12.7%
2	175267	7.1%
3	175028	7.1%
4	174458	7.1%
6	173234	7.0%
5	172531	7.0%
7	158229	6.4%
8	154935	6.3%
Other values (2)	302045	12.2%

client_id
Text

Distinct	8600
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Length

Max length	6
Median length	6
Mean length	5.881745
Min length	3

Characters and Unicode

Total characters	1980460
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	< 0.1%

Sample

1st row	c_4450
2nd row	c_277
3rd row	c_4270
4th row	c_4597
5th row	c_1242

Value	Count	Frequency (%)
c_1609	12855	3.8%
c_6714	4471	1.3%
c_3454	3273	1.0%
c_4958	2562	0.8%
c_2140	195	0.1%
c_7959	195	0.1%
c_2595	193	0.1%
c_8026	192	0.1%
c_3725	190	0.1%
c_8392	189	0.1%
Other values (8590)	312398	92.8%

Most occurring characters

Value	Count	Frequency (%)
c	336713	17.0%
_	336713	17.0%
1	149042	7.5%
4	145000	7.3%
6	144674	7.3%
5	138632	7.0%
7	133436	6.7%
3	133191	6.7%
2	133142	6.7%
8	116476	5.9%
Other values (2)	213441	10.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1980460	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
c	336713	17.0%
_	336713	17.0%
1	149042	7.5%
4	145000	7.3%
6	144674	7.3%
5	138632	7.0%
7	133436	6.7%
3	133191	6.7%
2	133142	6.7%
8	116476	5.9%
Other values (2)	213441	10.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1980460	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
c	336713	17.0%
_	336713	17.0%
1	149042	7.5%
4	145000	7.3%
6	144674	7.3%
5	138632	7.0%
7	133436	6.7%
3	133191	6.7%
2	133142	6.7%
8	116476	5.9%
Other values (2)	213441	10.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1980460	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
c	336713	17.0%
_	336713	17.0%
1	149042	7.5%
4	145000	7.3%
6	144674	7.3%
5	138632	7.0%
7	133436	6.7%
3	133191	6.7%
2	133142	6.7%
8	116476	5.9%
Other values (2)	213441	10.8%

quantity_sold
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.4987452

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.8746987
Coefficient of variation (CV)	0.52279175
Kurtosis	-1.2271436
Mean	5.4987452
Median Absolute Deviation (MAD)	3
Skewness	0.0014324165
Sum	1851499
Variance	8.2638923
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	33873	10.1%
4	33855	10.1%
3	33770	10.0%
2	33765	10.0%
10	33763	10.0%
9	33725	10.0%
1	33695	10.0%
8	33543	10.0%
5	33410	9.9%
6	33314	9.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	33695	10.0%
2	33765	10.0%
3	33770	10.0%
4	33855	10.1%
5	33410	9.9%
6	33314	9.9%
7	33873	10.1%
8	33543	10.0%
9	33725	10.0%
10	33763	10.0%

Value	Count	Frequency (%)
10	33763	10.0%
9	33725	10.0%
8	33543	10.0%
7	33873	10.1%
6	33314	9.9%
5	33410	9.9%
4	33855	10.1%
3	33770	10.0%
2	33765	10.0%
1	33695	10.0%

product_id
Text

Distinct	3264
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Length

Max length	6
Median length	6
Mean length	5.5317615
Min length	3

Characters and Unicode

Total characters	1862616
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48 ?
Unique (%)	< 0.1%

Sample

1st row	0_1483
2nd row	2_226
3rd row	1_374
4th row	0_2186
5th row	0_1351

Value	Count	Frequency (%)
1_369	1081	0.3%
1_417	1062	0.3%
1_498	1036	0.3%
1_414	1027	0.3%
1_425	1013	0.3%
1_398	952	0.3%
1_406	946	0.3%
1_413	944	0.3%
1_403	939	0.3%
1_407	933	0.3%
Other values (3254)	326780	97.1%

Most occurring characters

Value	Count	Frequency (%)
1	382993	20.6%
_	336713	18.1%
0	301062	16.2%
2	142873	7.7%
4	138052	7.4%
3	132907	7.1%
5	105868	5.7%
6	101227	5.4%
8	75015	4.0%
7	74341	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1862616	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	382993	20.6%
_	336713	18.1%
0	301062	16.2%
2	142873	7.7%
4	138052	7.4%
3	132907	7.1%
5	105868	5.7%
6	101227	5.4%
8	75015	4.0%
7	74341	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1862616	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	382993	20.6%
_	336713	18.1%
0	301062	16.2%
2	142873	7.7%
4	138052	7.4%
3	132907	7.1%
5	105868	5.7%
6	101227	5.4%
8	75015	4.0%
7	74341	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1862616	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	382993	20.6%
_	336713	18.1%
0	301062	16.2%
2	142873	7.7%
4	138052	7.4%
3	132907	7.1%
5	105868	5.7%
6	101227	5.4%
8	75015	4.0%
7	74341	4.0%

category
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Vêtements	209426
Accessoires	109735
Montres	17552

Length

Max length	11
Median length	9
Mean length	9.5475464
Min length	7

Characters and Unicode

Total characters	3214783
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Vêtements
2nd row	Montres
3rd row	Accessoires
4th row	Vêtements
5th row	Vêtements

Common Values

Value	Count	Frequency (%)
Vêtements	209426	62.2%
Accessoires	109735	32.6%
Montres	17552	5.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
vêtements	209426	62.2%
accessoires	109735	32.6%
montres	17552	5.2%

Most occurring characters

Value	Count	Frequency (%)
e	655874	20.4%
s	556183	17.3%
t	436404	13.6%
n	226978	7.1%
c	219470	6.8%
m	209426	6.5%
ê	209426	6.5%
V	209426	6.5%
o	127287	4.0%
r	127287	4.0%
Other values (3)	237022	7.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3214783	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	655874	20.4%
s	556183	17.3%
t	436404	13.6%
n	226978	7.1%
c	219470	6.8%
m	209426	6.5%
ê	209426	6.5%
V	209426	6.5%
o	127287	4.0%
r	127287	4.0%
Other values (3)	237022	7.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3214783	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	655874	20.4%
s	556183	17.3%
t	436404	13.6%
n	226978	7.1%
c	219470	6.8%
m	209426	6.5%
ê	209426	6.5%
V	209426	6.5%
o	127287	4.0%
r	127287	4.0%
Other values (3)	237022	7.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3214783	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	655874	20.4%
s	556183	17.3%
t	436404	13.6%
n	226978	7.1%
c	219470	6.8%
m	209426	6.5%
ê	209426	6.5%
V	209426	6.5%
o	127287	4.0%
r	127287	4.0%
Other values (3)	237022	7.4%

sub_category
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

T-shirts	209426
Sacs à main	109735
Montres connectées	17552

Length

Max length	18
Median length	8
Mean length	9.4989769
Min length	8

Characters and Unicode

Total characters	3198429
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	T-shirts
2nd row	Montres connectées
3rd row	Sacs à main
4th row	T-shirts
5th row	T-shirts

Common Values

Value	Count	Frequency (%)
T-shirts	209426	62.2%
Sacs à main	109735	32.6%
Montres connectées	17552	5.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
t-shirts	209426	36.5%
sacs	109735	19.1%
à	109735	19.1%
main	109735	19.1%
montres	17552	3.1%
connectées	17552	3.1%

Most occurring characters

Value	Count	Frequency (%)
s	563691	17.6%
i	319161	10.0%
t	244530	7.6%
	237022	7.4%
r	226978	7.1%
a	219470	6.9%
-	209426	6.5%
T	209426	6.5%
h	209426	6.5%
n	162391	5.1%
Other values (8)	596908	18.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3198429	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	563691	17.6%
i	319161	10.0%
t	244530	7.6%
	237022	7.4%
r	226978	7.1%
a	219470	6.9%
-	209426	6.5%
T	209426	6.5%
h	209426	6.5%
n	162391	5.1%
Other values (8)	596908	18.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3198429	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	563691	17.6%
i	319161	10.0%
t	244530	7.6%
	237022	7.4%
r	226978	7.1%
a	219470	6.9%
-	209426	6.5%
T	209426	6.5%
h	209426	6.5%
n	162391	5.1%
Other values (8)	596908	18.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3198429	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	563691	17.6%
i	319161	10.0%
t	244530	7.6%
	237022	7.4%
r	226978	7.1%
a	219470	6.9%
-	209426	6.5%
T	209426	6.5%
h	209426	6.5%
n	162391	5.1%
Other values (8)	596908	18.7%

price
Real number (ℝ)

HIGH CORRELATION

Distinct	1442
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.215189

Minimum	0.62
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	0.62
5-th percentile	4
Q1	8.61
median	13.9
Q3	18.99
95-th percentile	47.22
Maximum	300
Range	299.38
Interquartile range (IQR)	10.38

Descriptive statistics

Standard deviation	17.855445
Coefficient of variation (CV)	1.0371914
Kurtosis	45.425205
Mean	17.215189
Median Absolute Deviation (MAD)	5.09
Skewness	5.4791964
Sum	5796577.8
Variance	318.81693
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15.99	10563	3.1%
4.99	9407	2.8%
10.99	8949	2.7%
3.99	8713	2.6%
5.99	8275	2.5%
11.99	8246	2.4%
14.99	8041	2.4%
8.99	7785	2.3%
17.99	7572	2.2%
12.99	7461	2.2%
Other values (1432)	251701	74.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.62	14	< 0.1%
0.66	8	< 0.1%
0.77	3	< 0.1%
0.81	7	< 0.1%
0.88	3	< 0.1%
0.92	3	< 0.1%
0.93	4	< 0.1%
0.97	13	< 0.1%
0.98	4	< 0.1%
0.99	66	< 0.1%

Value	Count	Frequency (%)
300	8	< 0.1%
254.44	4	< 0.1%
247.22	66	< 0.1%
236.99	94	< 0.1%
233.54	3	< 0.1%
231.99	3	< 0.1%
230.04	111	< 0.1%
228.11	11	< 0.1%
225.17	36	< 0.1%
222.97	3	< 0.1%

stock_quantity
Real number (ℝ)

Distinct	99
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.901587

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	27
median	49
Q3	76
95-th percentile	95
Maximum	99
Range	98
Interquartile range (IQR)	49

Descriptive statistics

Standard deviation	28.628154
Coefficient of variation (CV)	0.56242164
Kurtosis	-1.169745
Mean	50.901587
Median Absolute Deviation (MAD)	24
Skewness	-0.012410363
Sum	17139226
Variance	819.57121
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43	6473	1.9%
96	5848	1.7%
15	5715	1.7%
46	5711	1.7%
44	5702	1.7%
34	5516	1.6%
58	5483	1.6%
48	5444	1.6%
61	5401	1.6%
65	5144	1.5%
Other values (89)	280276	83.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3996	1.2%
2	3342	1.0%
3	3241	1.0%
4	2905	0.9%
5	2065	0.6%
6	2276	0.7%
7	2637	0.8%
8	3721	1.1%
9	4614	1.4%
10	3512	1.0%

Value	Count	Frequency (%)
99	3177	0.9%
98	2959	0.9%
97	4381	1.3%
96	5848	1.7%
95	4985	1.5%
94	4106	1.2%
93	3477	1.0%
92	4819	1.4%
91	1724	0.5%
90	4296	1.3%

sex
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

m	169198
f	167515

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	336713
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	f
2nd row	f
3rd row	f
4th row	m
5th row	f

Common Values

Value	Count	Frequency (%)
m	169198	50.2%
f	167515	49.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	169198	50.2%
f	167515	49.8%

Most occurring characters

Value	Count	Frequency (%)
m	169198	50.2%
f	167515	49.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	336713	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
m	169198	50.2%
f	167515	49.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	336713	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
m	169198	50.2%
f	167515	49.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	336713	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
m	169198	50.2%
f	167515	49.8%

birth
Real number (ℝ)

HIGH CORRELATION

Distinct	76
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1977.8236

Minimum	1929
Maximum	2004
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1929
5-th percentile	1952
Q1	1971
median	1980
Q3	1987
95-th percentile	1999
Maximum	2004
Range	75
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	13.524433
Coefficient of variation (CV)	0.0068380383
Kurtosis	0.45233507
Mean	1977.8236
Median Absolute Deviation (MAD)	8
Skewness	-0.58041737
Sum	6.6595891 × 10⁸
Variance	182.9103
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1980	23878	7.1%
1979	12418	3.7%
1988	12406	3.7%
1978	12270	3.6%
1986	11818	3.5%
1983	10630	3.2%
1984	10232	3.0%
1982	10102	3.0%
1977	10017	3.0%
1987	9732	2.9%
Other values (66)	213210	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1929	86	< 0.1%
1930	115	< 0.1%
1931	84	< 0.1%
1932	159	< 0.1%
1933	163	< 0.1%
1934	274	0.1%
1935	143	< 0.1%
1936	387	0.1%
1937	454	0.1%
1938	431	0.1%

Value	Count	Frequency (%)
2004	7348	2.2%
2003	2182	0.6%
2002	2223	0.7%
2001	2032	0.6%
2000	2174	0.6%
1999	4999	1.5%
1998	2356	0.7%
1997	2306	0.7%
1996	2943	0.9%
1995	2781	0.8%

age
Real number (ℝ)

HIGH CORRELATION

Distinct	76
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.176432

Minimum	20
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	20
5-th percentile	25
Q1	37
median	44
Q3	53
95-th percentile	72
Maximum	95
Range	75
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	13.524433
Coefficient of variation (CV)	0.29288606
Kurtosis	0.45233507
Mean	46.176432
Median Absolute Deviation (MAD)	8
Skewness	0.58041737
Sum	15548205
Variance	182.9103
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
44	23878	7.1%
45	12418	3.7%
36	12406	3.7%
46	12270	3.6%
38	11818	3.5%
41	10630	3.2%
40	10232	3.0%
42	10102	3.0%
47	10017	3.0%
37	9732	2.9%
Other values (66)	213210	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	7348	2.2%
21	2182	0.6%
22	2223	0.7%
23	2032	0.6%
24	2174	0.6%
25	4999	1.5%
26	2356	0.7%
27	2306	0.7%
28	2943	0.9%
29	2781	0.8%

Value	Count	Frequency (%)
95	86	< 0.1%
94	115	< 0.1%
93	84	< 0.1%
92	159	< 0.1%
91	163	< 0.1%
90	274	0.1%
89	143	< 0.1%
88	387	0.1%
87	454	0.1%
86	431	0.1%

Auto

Heatmap
Table

	age	birth	category	day	month	price	quantity_sold	sex	stock_quantity	sub_category	year
age	1.000	-1.000	0.415	-0.002	0.024	-0.054	-0.002	0.080	-0.000	0.415	0.023
birth	-1.000	1.000	0.420	0.002	0.024	0.054	0.002	0.097	0.000	0.420	0.022
category	0.415	0.420	1.000	0.009	0.138	0.643	0.002	0.015	0.076	1.000	0.066
day	-0.002	0.002	0.009	1.000	0.039	0.002	0.002	0.010	0.000	0.009	0.060
month	0.024	0.024	0.138	0.039	1.000	0.022	0.000	0.008	0.007	0.138	1.000
price	-0.054	0.054	0.643	0.002	0.022	1.000	0.003	0.010	-0.069	0.643	0.010
quantity_sold	-0.002	0.002	0.002	0.002	0.000	0.003	1.000	0.000	-0.000	0.002	0.000
sex	0.080	0.097	0.015	0.010	0.008	0.010	0.000	1.000	0.000	0.015	0.005
stock_quantity	-0.000	0.000	0.076	0.000	0.007	-0.069	-0.000	0.000	1.000	0.076	0.008
sub_category	0.415	0.420	1.000	0.009	0.138	0.643	0.002	0.015	0.076	1.000	0.066
year	0.023	0.022	0.066	0.060	1.000	0.010	0.000	0.005	0.008	0.066	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	id_prod	year	month	day	time	session_id	client_id	quantity_sold	product_id	category	sub_category	price	stock_quantity	sex	birth	age
0	0_1483	2021	April	10	18:37:28	s_18746	c_4450	5	0_1483	Vêtements	T-shirts	4.99	48	f	1977	47
1	2_226	2022	February	3	01:55:53	s_159142	c_277	6	2_226	Montres	Montres connectées	65.75	63	f	2000	24
2	1_374	2021	September	23	15:13:46	s_94290	c_4270	3	1_374	Accessoires	Sacs à main	10.71	97	f	1979	45
3	0_2186	2021	October	17	03:27:18	s_105936	c_4597	8	0_2186	Vêtements	T-shirts	4.20	57	m	1963	61
4	0_1351	2021	July	17	20:34:25	s_63642	c_1242	2	0_1351	Vêtements	T-shirts	8.99	59	f	1980	44
5	0_1085	2021	September	15	05:47:48	s_90139	c_2526	7	0_1085	Vêtements	T-shirts	3.99	43	f	1982	42
6	0_1508	2021	August	29	05:39:01	s_82100	c_5799	7	0_1508	Vêtements	T-shirts	8.03	72	f	1962	62
7	0_1627	2021	September	19	14:54:52	s_92294	c_1422	5	0_1627	Vêtements	T-shirts	3.99	80	f	1980	44
8	0_1469	2022	February	3	07:13:22	s_159252	c_2207	6	0_1469	Vêtements	T-shirts	14.99	66	f	1970	54
9	0_1453	2022	February	26	09:03:10	s_171098	c_5433	5	0_1453	Vêtements	T-shirts	7.99	89	f	1981	43

	id_prod	year	month	day	time	session_id	client_id	quantity_sold	product_id	category	sub_category	price	stock_quantity	sex	birth	age
336703	0_153	2021	October	17	12:47:22	s_106129	c_682	2	0_153	Vêtements	T-shirts	3.99	6	f	1974	50
336704	1_282	2021	June	1	12:14:28	s_42561	c_2945	8	1_282	Accessoires	Sacs à main	23.20	49	f	1968	56
336705	1_413	2022	January	10	13:47:23	s_147795	c_3706	1	1_413	Accessoires	Sacs à main	17.99	48	m	1987	37
336706	0_1475	2021	July	22	13:47:39	s_65686	c_5607	7	0_1475	Vêtements	T-shirts	11.99	76	m	1950	74
336707	1_498	2022	February	3	01:39:15	s_159138	c_1857	5	1_498	Accessoires	Sacs à main	23.37	18	f	1990	34
336708	1_671	2021	May	28	12:35:46	s_40720	c_3454	1	1_671	Accessoires	Sacs à main	31.99	13	m	1969	55
336709	0_759	2021	June	19	00:19:23	s_50568	c_6268	10	0_759	Vêtements	T-shirts	22.99	65	m	1991	33
336710	0_1256	2021	March	16	17:31:59	s_7219	c_4137	7	0_1256	Vêtements	T-shirts	11.03	13	f	1968	56
336711	2_227	2021	October	30	16:50:15	s_112349	c_5	8	2_227	Montres	Montres connectées	50.99	94	f	1994	30
336712	0_1417	2021	June	26	14:38:19	s_54117	c_6714	3	0_1417	Vêtements	T-shirts	17.99	38	f	1968	56

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)